Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms (Wiley Series in Microwave and Optical Engineering)
This book provides a full representation of Inverse Synthetic Aperture Radar (ISAR) imagery, which is a popular and important radar signal processing tool. The book covers all possible aspects of ISAR imaging. The book offers a fair amount of signal processing techniques and radar basics before introducing the inverse problem of ISAR and the forward problem of Synthetic Aperture Radar (SAR). Important concepts of SAR such as resolution, pulse compression and image formation are given together with associated MATLAB codes.
After providing the fundamentals for ISAR imaging, the book gives the detailed imaging procedures for ISAR imaging with associated MATLAB functions and codes. To enhance the image quality in ISAR imaging, several imaging tricks and fine-tuning procedures such as zero-padding and windowing are also presented. Finally, various real applications of ISAR imagery, like imaging the antenna-platform scattering, are given in a separate chapter. For all these algorithms, MATLAB codes and figures are included. The final chapter considers advanced concepts and trends in ISAR imaging.
Why Read This Book
You will learn how to build end-to-end ISAR image formation chains and improve real ISAR images using practical signal processing techniques implemented in MATLAB. The book combines radar theory, spectral analysis, and hands-on MATLAB code so you can move from concept to working algorithms for pulse compression, motion compensation, autofocus and image enhancement.
Who Will Benefit
Engineers, graduate students, and radar practitioners with some DSP background who need to implement or understand ISAR imaging chains and MATLAB-based algorithm development.
Level: Advanced — Prerequisites: Undergraduate-level signals and systems, familiarity with digital signal processing (FFT, filtering), basic probability/statistics, and working knowledge of MATLAB; prior exposure to radar concepts is helpful but not strictly required.
Key Takeaways
- Implement ISAR image formation algorithms (range-Doppler, Doppler-time and related methods) in MATLAB using provided code patterns.
- Apply pulse compression and matched filtering to improve range resolution and reduce sidelobes.
- Compensate for target motion and perform autofocus to correct phase errors and obtain focused ISAR images.
- Use FFT-based spectral analysis, zero-padding, windowing, and interpolation techniques to control resolution and mitigate artifacts.
- Employ adaptive filtering and statistical signal-processing techniques to suppress clutter, interference, and enhance image quality.
- Explore time-frequency and wavelet methods for nonstationary target analysis and improved micro-Doppler interpretation.
Topics Covered
- Introduction to ISAR: concepts, history, and imaging objectives
- Radar and signal-processing fundamentals for ISAR
- The forward SAR problem and ISAR inverse problem formulation
- Range processing and pulse compression techniques
- Doppler processing and range-Doppler image formation
- FFT, spectral analysis, windowing and resolution control
- Motion effects, compensation strategies and autofocus algorithms
- Advanced imaging algorithms and refinements (chirp scaling, Omega-K variants)
- Wavelet and time-frequency methods for nonstationary targets
- Adaptive filtering, clutter suppression and statistical approaches
- Image enhancement, deconvolution and superresolution techniques
- MATLAB implementations: functions, example scripts and step-by-step code
- Case studies, simulated and measured-data experiments
- Practical tips, parameter tuning and common pitfalls
- Appendices: mathematical tools, MATLAB notes and reference tables
Languages, Platforms & Tools
How It Compares
Compared with Cumming & Wong's 'Digital Processing of SAR Data', Ozdemir focuses specifically on ISAR with extensive MATLAB implementations; compared with Richards' 'Fundamentals of Radar Signal Processing', this book offers more applied ISAR imaging workflows and code rather than broad radar theory.
